The Pharma Discovery Workshop.
A fixed-scope, facilitated engagement that turns your Good Manufacturing Practice (GMP) data reality into a prioritized, audit-defensible AI roadmap — and a Pilot SOW you can sign. Typically 2–3 weeks, including pre-work.
100% credited against your pilot within 90 days · request pricing · ₹ ex-GST
Prefer a quick self-check?Score your AI readiness in 5 minutesFive artifacts — and a pilot you can sign.
No open-ended slideware. You walk out with the concrete inputs a pilot decision actually needs.
- GxP data-integrity maturity map — where your ALCOA+ data really stands, system by system.
- Prioritized use-case shortlist — the highest-value, audit-defensible first move, ranked against your data reality.
- Target architecture sketch — a sovereign, on-prem design with an explicit firewall boundary.
- Quantified business case — built on your own baseline, not borrowed benchmarks.
- A Pilot SOW ready to sign — scoped, sequenced and priced, with QA in the loop.
A short, structured engagement — typically 2–3 weeks.
No open-ended discovery. Three phases, scoped to your site, from first data-access to a signable pilot.
Pre-work & data access
You line up the systems, documents and people from the checklist below. We come prepared — not exploring on your clock.
Facilitated workshop
Two to three working sessions with QA, IT/OT and production in the room — mapping data, use cases and the audit-defensible first move.
Roadmap & Pilot SOW
We hand back the maturity map, prioritized roadmap, architecture sketch, business case and a Pilot SOW you can sign.
Typically 2–3 weeks end to end, including pre-work · 100% credited against your pilot within 90 days · request pricing · ₹ ex-GST.
The data-access checklist.
The workshop is only as good as what we can see. Line these up before we meet — read-access or representative sample exports are enough, and nothing has to leave your environment.
01 Source systems & data
- MES — execution and batch context
- LIMS — QC sample, test and result data
- Process historian — equipment & process time-series
- Electronic batch records (EBR / eBMR)
- ERP & QMS — orders, materials, deviations
- Read-access or sample exports — plus any data dictionaries.
02 Documents
- Current validation approach (CSV / CSA)
- Key SOPs for the target process
- Your data-integrity / ALCOA+ policy
- A redacted summary of recent audit or inspection observations
03 People in the room
- QA / QC lead
- IT & OT lead
- Production / operations lead
- A validation (CSV) owner
- Decision-makers, not just delegates — the value is in the room.
04 Constraints & environment
- Data-residency requirements
- Network & firewall posture
- On-prem vs cloud position
- Your security-review / vendor-onboarding process
05 Use-case seeds
- Two or three candidate pain points to pressure-test
- e.g. batch-review time, deviation trending, vision QC, line downtime.
06 What you don't need
- No clean data — messy is the point
- No new tooling stood up in advance
- No write access to validated systems
- If it exists somewhere, that's enough to start.
Nothing leaves your environment.
Pharma data is intellectual property and regulated record at once. The workshop is built to respect both — from the first NDA.
Your IP stays yours
We start under NDA. Formulations, batch genealogy and yield data never change hands.
No production write access
Read-access or representative sample exports are enough to map your data — we don't touch validated systems.
Inside your firewall
The architecture we sketch keeps sensitive data on-prem by design, not policy — residency-compliant from day one.
Nothing copied out
Nothing is moved to our systems or any cloud without your explicit, scoped approval.
Export-ambitious branded-formulations manufacturers preparing for — or scaling — EU-GMP supply, who want the first pilot mapped on their own data before committing to a program.
Book the Discovery Workshop.
Bring your export ambition and your data reality. We'll hand back a signable, audit-defensible pilot — mapped on your baseline.